Improve hospital management
Deriving insights from data has greatly reduced complex work in a hospital. Tedious routines such as collecting patients’ personal details and categorising them according to their respective medical history have become easier with the use of more data and analytical software.
Also, easy-to-use data visualisation tools allow medical workers to create their own dashboard with minimum effort to get the data to match patients to different programmes. This allows them to get the optimal result in the shortest time.
In review of the use of big data, Dr. Chow, head of health services research at Eastern Health Alliance, shared that doctors have also reported a qualitative improvement in their workload in recent years. Hence, data analysis is no doubt the catalyst for a more efficient healthcare system in Singapore.
Better care coordination with personalisation
Following up with patients is vital to ensure their safety and reduce the risk of relapses. In order to make this process more cost-effective and efficient, Changi General Hospital has deep-dived into data of its diabetic patients to find out who benefited most from the regular calls that nurses give.
Upon knowing that this method of follow-up has favoured patients with poorly controlled diabetes, the hospital is able to deploy resources more cost-effectively.
Healthcare technology startup RingMD is also using big data to enhance patients’ experience in interacting with its chatbot. It also allows patients to connect with a doctor or wellness expert through video or phone consultation.
These improvements made by analysing data have resulted in a better care system that greatly helps both the medical staffs and patients. Thus, personalised medical information can improve services for patients immensely.
Improve patient wellness
Data collected from patients are analysed thoroughly to better understand their needs and improve their well-being before surgery. With analytics, doctors and nurses would know clearly if blood transfusion was performed in the intensive care and whether antibiotics were stopped within 48 hours after a surgery. These data improve accuracy and experiences for patients.
Additionally, RingMD also works with hospitals to provide patients with tracking wearables that collect medical data such as heart rate and body temperature. This tool is extremely powerful as it enables not only real-time patient monitoring but also follow-up care.
As such, the greater availability of data and revolutionary softwares are indeed the enablers that help patients improve their lifestyles and health. All in all, big data analytics is very important to healthcare and is set to make a bigger impact in the future. MIMS
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